Top Research Jobs in Calgary

Conduct research and valuation analysis on offshore upstream oil and gas assets and companies. Build financial models, develop actionable investment insights, present findings to clients and prospects, participate in industry events and meetings, and demonstrate Enverus software and proprietary datasets. Collaborate with financial analysts, engineers, geologists, data scientists, and developers while managing project timelines and mentoring team members.

Conduct AI-driven security assessments across software, hardware, and firmware; develop AI-enabled offensive and defensive security tooling; identify and remediate vulnerabilities; test LLMs, agentic workflows, and cloud environments; and guide organization-wide AI security strategy. Partner with engineering and leadership, lead threat-modeling sessions, and communicate security findings and recommendations to senior stakeholders.

Leads consumer research projects from client alignment and study design through data analysis, quality control, reporting, and presentations. Develops questionnaires, interprets complex datasets, synthesizes actionable insights, supports proposals, and collaborates with internal teams and stakeholders to deliver high-quality research on schedule.

Provides technical accounting research, valuation and financial reporting guidance. Responsibilities include preparing accounting position papers, monitoring GAAP and SEC developments, developing SEC disclosures, supporting M&A and divestiture due diligence, implementing new accounting standards, partnering with auditors and stakeholders, delivering training, and mentoring accounting team members.

Conduct research on AI accelerator architectures and semiconductor supply chains to assess power, cooling, and infrastructure implications. Monitor data-center build-outs and industry disclosures, synthesize findings into written briefs and competitive-intelligence products, and ground analysis using Enverus energy datasets.

Conduct primary and secondary research on power demand from data centers, monitor regulatory filings and interconnection queues, build and audit financial Excel models, synthesize findings into concise briefs and data tables, support senior analysts on large projects, and use Enverus proprietary datasets (PRISM) to ground research.

Conduct novel research in generative and predictive AI for molecular systems. Lead a research project from ideation through experimentation, develop methods involving foundation models, diffusion models, large language models, reinforcement learning, or multimodal learning, run large-scale experiments, evaluate hypotheses, and present findings. The role includes mentorship and potential publication opportunities while contributing to AI-driven drug discovery.

Conduct fundamental AI research at the intersection of machine learning, physics, computational chemistry, and drug discovery. Build, optimize, and test generative and multimodal foundation models; run large-scale experiments; analyze results; implement research ideas in reliable code; and present findings to a multidisciplinary team.

Develops, validates, and supports R Shiny applications and reusable programming utilities for clinical trial review, data visualization, statistical reporting, quality control, and regulatory submissions. Uses R, SAS, and Python while collaborating with biostatisticians, statistical programmers, data management, clinical operations, and IT. Ensures solutions meet GxP, Computer Software Assurance, testing, scalability, performance, and company standards.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Designs benchmarks, reinforcement learning environments, evaluation methodologies, scoring frameworks, and reproducible evaluation architectures for frontier models. Builds and ships production code, maintains data pipelines, analyzes results, and collaborates with research scientists, solutions architects, and ML engineers. The role combines independent research methodology with hands-on engineering across agentic systems, model evaluation, and RL infrastructure.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

Leads immunology clinical research from target prioritization and preclinical translation through first-in-disease programs. Partners with discovery, translational medicine, clinical development, and business development teams to evaluate assets, shape clinical strategies, design early-phase studies, define biomarkers and patient populations, and support go/no-go decisions. Serves as a hands-on clinical subject matter expert in autoimmune and inflammatory diseases, representing the organization with scientific leaders, investigators, regulators, and internal stakeholders.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Supports a senior energy research analyst covering Canadian oil and gas producers. Responsibilities include building operating and financial models, forecasting production, updating estimates, analyzing filings and databases, maintaining comparable-company and transaction analyses, drafting research reports, and supporting client calls, conferences, and corporate access events.

Executes rodent in vivo studies across multiple drug discovery programs, including dosing, blood collection, necropsy, tissue harvesting, sample processing, animal monitoring, and study documentation. Coordinates timelines and sample needs with scientists, operational leads, and vivarium staff. Ensures IACUC compliance, animal welfare, data integrity, and protocol adherence while troubleshooting routine issues. Provides technical training and flexible weekend or time-sensitive study coverage.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Build and scale secure automated patching infrastructure for open-source vulnerabilities. Develop Rust and Unix-based CLI tools, package-manager integrations, APIs, testing tools, and developer-facing remediation workflows. Debug ecosystem-specific issues, contribute to JavaScript, React, and TypeScript frontends, and collaborate with security researchers to deliver certified packages and high-quality patches at scale.

Manages early-phase clinical research projects from initiation through closure, coordinating sponsors, sites, CRAs, vendors, and internal teams. Oversees site activation, recruitment, monitoring deliverables, regulatory documentation, training, budgets, timelines, quality, risk, and change control. Supports clinical monitoring, TMF inspection readiness, data review, study trackers, and dashboards while ensuring compliance with GCP, ICH, FDA, Canadian regulations, SOPs, and study requirements.

Supports digital marketing and patient recruitment campaigns by launching ads, monitoring KPIs, analyzing performance, updating study materials, coordinating sponsor revisions, and tracking deliverables. The role collaborates with internal teams, sponsors, and external partners while maintaining accurate campaign information and compliance-aligned content across multiple platforms.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Leads quantitative investment research supporting total portfolio construction, asset allocation, tactical positioning, risk decomposition, stress testing, and investment committee decisions. Builds reproducible Python-based research infrastructure, models, dashboards, and governance processes across public and private assets. Advises senior investment leaders, mentors quantitative analysts, translates macroeconomic evidence into portfolio recommendations, and maintains scorecards for tactical decisions and model performance.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.

Build infrastructure and software for training, deploying, scaling, monitoring, and operating machine-learning models and optimization algorithms for supply-chain applications. Responsibilities include translating supply-chain use cases into mathematical models, developing ML and optimization systems in C++ and Python, designing automated testing strategies, and supporting cloud or containerized workloads. The role also involves research into heuristics, optimization, GPU computing, MLOps, and AI-assisted software development.

Develop and optimize supply-chain algorithms by translating real-world problems into mathematical models. Lead C++ implementation, investigate heuristics and optimization techniques, and create comprehensive functional, regression, performance, unit, and integration tests. Collaborate with agile teams and stakeholders while improving software quality, development speed, and platform capabilities. Experience with commercial mathematical solvers, data structures, algorithms, and AI-assisted development is valued.